• Title/Summary/Keyword: The traffic accident

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A Study of Traffic Accident Analysis Model on Highway in Accordance with the Accident Rate of Trucks (화물차사고 비율에 따른 고속도로 교통사고 분석모형에 대한 연구)

  • Yang, Sung-Ryong;Yoon, Byoung-jo;Ko, Eun-Hyeok
    • Journal of the Society of Disaster Information
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    • v.13 no.4
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    • pp.570-576
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    • 2017
  • Trucks take up more portions than cars on highways. Due to this, road use relatively diminish and it serves locally as a threatening factor to nearby drivers. Baggage car accident has distinct characteristics so that it needs the application of different analysis opposed to ordinary accidents. Accident prediction model, one of accident analyses, is used to predict the numbers of accident in certain parts, establish traffic plans as well as accident prevention methods, and diagnose the danger of roads. Thus, this study aims to apply the accident rate of baggage car on highways and calculate the correction factor to be put in the accident prediction models. Accident data based on highway was collected and traffic amounts and accident documents between 2014 and 2016 were utilized. The author developed an accident prediction model based on numbers of annual accidents and set mean annual and daily traffic amounts. This study intends to identify the practical accident prediction model on highway and present an appropriate solution by comparing the prediction model in accords with the accident rate between baggage cars.

Developing the Pedestrian Accident Models of Intersections using Tobit Model (토빗모형을 이용한 교차로 보행자 사고모형 개발)

  • Lee, Seung Ju;Lim, Jin Kang;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.5
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    • pp.154-159
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    • 2014
  • This study deals with the pedestrian accidents of intersections in case of Cheongju. The objective is to develop the pedestrian accident models using Tobit regression model. In pursuing the above, the pedestrian accident data from 2007 to 2011 were collected from TAAS data set of Road Traffic Authority. To analyze the accident, Poisson, negative binomial and Tobit regression models were utilized in this study. The dependent variable were the number of accident by intersection. Independent variables are traffic volume, intersection geometric structure and the transportation facility. The main results were as follows. First, Tobit model was judged to be more appropriate model than other models. Also, these models were analyzed to be statistically significant. Second, such the main variables related to accidents as traffic volume, pedestrian volume, number of traffic island, crossing length and the pedestrian countdown signal systems were adopted in the above model.

An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing (CCTV 영상처리를 이용한 터널 내 사고감지 알고리즘)

  • Baek, JungHee;Min, Joonyoung;Namkoong, Seong;Yoon, SeokHwan
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.2
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    • pp.83-90
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    • 2015
  • Almost of current Automatic Incident Detection(AID) algorithms involve the vulnerability that detects the traffic accident in open road or in tunnel as the traffic jam not as the traffic accident. This paper proposes the improved accident detection algorithm to enhance the detection probability based on accident detection algorithms applied in open roads. The improved accident detection algorithm provides the preliminary judgment of potential accident by detecting the stopped object by Gaussian Mixture Model. Afterwards, it measures the detection area is divided into blocks so that the occupancy rate can be determined for each block. All experimental results of applying the new algorithm on a real incident was detected image without error.

Urban and Rural Roundabout Accident Occurrence Models (도시 및 지방 회전교차로 사고 발생 모형)

  • Beck, Tea Hun;Lim, Jin Kang;Park, Byung Ho
    • International Journal of Highway Engineering
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    • v.17 no.5
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    • pp.39-46
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    • 2015
  • PURPOSES: The operational characteristics of roundabouts are generally influenced by location as well as traffic volume. The goal of this study is to develop urban and rural roundabout accident models and to discuss safety improvement guidelines based on the model. METHODS : To analyze accidents, count data models are utilized in this study. This study used accident data from 2010 to 2013 for 56 roundabouts collected from the Traffic Accident Analysis System (TASS) of Road Traffic Authority. Poisson and negative binomial regression models were developed for this study using NLOGIT 4.0. RESULTS : The main results are as follows. First, the hypotheses that there are distributional differences in the number of accidents and injuries/fatalities among rural and urban roundabouts were accepted. Second, Poisson and negative binomial regression accident models, which were all statistically significant, were developed. Seven independent variables, which were statistically significant, were adopted. Third, the common variable of models was evaluated to be traffic volume. CONCLUSIONS : This study developed two negative binomial roundabout accident models and suggested some accident reduction strategies. The results are expected to give some implications to the safety improvement of roundabout.

Establishing Traffic Speed Limits Standard and Accident Risk Analysis of Truck (화물차량의 사고위험도 분석 및 통행속도 제한기준 정립)

  • Kim, Jae Hyun;Hong, Ki Nam;Seo, Dong Woo
    • Journal of the Korean Society of Safety
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    • v.31 no.5
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    • pp.149-157
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    • 2016
  • This paper presents the traffic speed limit of heavy vehicles at each wind velocity region, which is based on their accident risk analysis under cross-wind. The variables for the accident risk analysis are overall height, overall length, intake weight, and friction coefficient of the road surface. It was confirmed from analysis results that the risk of overturning increased with higher overall height and length, and the risk of sliding decreased with higher intake weight. The risk of sliding was largest at the friction coefficient of 0.1, and the risk of overturning was lagest at friction coefficient more than 0.25. Finally, traffic speed limit was proposed by using the accident risk analysis.

A Traffic Accident Detection and Analysis System at Intersections using Probability-based Hierarchical Network (확률기반 계층적 네트워크를 활용한 교차로 교통사고 인식 및 분석 시스템)

  • Hwang, Ju-Won;Lee, Young-Seol;Cho, Sung-Bae
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.10
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    • pp.995-999
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    • 2010
  • Every year, traffic accidents and traffic congestion have been rapidly increasing, Although the roadway design and signal system have been improved to relieve traffic accidents, traffic casualties and property damage do not decrease. This paper develops a real-time traffic accident detection and analysis system (RTADAS): In the proposed system, we aim to precisely detect traffic accidents at different design and flow of intersections, However, because the data collected from intersections have uncertainty and complicated causal dependency between them, we construct probability-based networks for correct accident detection.

Acoustic Characteristic Analysis of the accident for Automatic Traffic Accident Detection at Intersection (교차로 교통사고 자동감지를 위한 사고음의 음향특성 분석)

  • Park, Mun-Soo;Kim, Jae-Yee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1142-1148
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    • 2006
  • Actually, a present traffic accident detection system is subsisting limitation of accurate distinction under the crowded condition at intersection because the system depend upon mainly the image information at intersection and digital image processing techniques nearly all. To complement this insufficiency, this article aims to estimate the level of present technology and a realistic possibility by analyzing the acoustic characteristic of crash sound that we have to investigate fur improvement of traffic accident detection rate at intersection. The skid sound of traffic accident was showed the special pattern at 1[KHz])$\sim$3[KHz] bandwidth when vehicles are almost never operated in and around intersection. Also, the frequency bandwidth of vehicle crash sound was showed sound pressure difference over 30[dB] higher than when there is no occurrence of traffic accident below 500[Hz].

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Development of Car Accidents Person Fatality Model using Data Mining (데이터 마이닝을 이용한 차량 사고자 사망확률 모형)

  • Kim Cheon-Shik;Hong You-Shik;Jung Myung-Hee
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.25-31
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    • 2006
  • In this paper, a fatality model of car accident using data mining is proposed with the goal of reducing fatality of traffic accident. The analysis results with a proposed fatality model are utilized to improve a technology and environment for driving. For this, traffic accident data are collected, a data mining algorithm is applied to this data, and then, a fatality model of car accident is developed based on the analysis. The training data as well as test data are utilized to develop the fatality model. The important factors to cause fatality in traffic accidents can be investigated using the model. If these factors are taken into account in traffic policies and driving environment, it is expected that the fatality rate of traffic accident can be reduced hereafter.

Roundabout Accident Model by Traffic Impeding Factor (교통 저해요소별 회전교차로 사고모형)

  • Cho, Ah Hae;Park, Byung Ho
    • Journal of the Korean Society of Safety
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    • v.32 no.1
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    • pp.128-133
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    • 2017
  • This study deals with the roundabout traffic accidents by traffic impeding factor. The purpose of this study is to comparatively analyze the characteristics of accidents and to develop the accident models. In pursuing the above, this study used a statistical program SPSS 20.0 to analyze 2,342 accidents occurred within 79 roundabouts in Korea. The main results are as follows. First, 4 accident models which were all statistically significant were developed. Second, the traffic volume and width of right-turn-only lane were analyzed to be common variable in the bus stop related models. The variables such as right-turn-only lane, street light, turning radius of entry lane were selected as specific variables. Especially street light and turning radius of entry lane were evaluated to have negative effects to the accidents. It is, therefore, essential to install the street light and place a sufficient turning radius in order to reduce the roundabout accidents. Finally, the traffic volume and number of entry lane were analyzed to be common variable in the on-street parking related models. Also, the width of right-turn-only lane and bus stop were evaluate to be specific variables in the model with on-street parking. This can be expected to give some implications to making the accident reduction guidelines.

The Clinical Study on 500 Cases with Traffic Accident Patients Admitted in Oriental Medical Hospital (한방병원에 입원한 교통사고 환자 500례에 대한 임상적 고찰)

  • Kim, Eun-Geol;Lee, Dong-Gun;Jeong, Won-Je;Cho, Hyun-Seok;Bae, Jae-Ik;Kim, Seung-Hyeon;Kim, Kyung-Ho
    • Journal of Acupuncture Research
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    • v.26 no.5
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    • pp.29-38
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    • 2009
  • Objectives : The main purpose of this study is to find out the characteristic of patients admitted in the Oriental Medical Hospital due to traffic accident. Methods : 500 inpatients of traffic accident from Jan 1, 2005 to May 31, 2009 were analyzed according to medical charts. Results : The numbers of traffic accident patient in Oriental Medical Hospital in 2008 were bigger than in 2005. Most of patients were cared by western medicine right after accidents and several days later they started searching for oriental medical treatments. Most of the symptoms were not so severe at the beginning of the treatment. The method of the treatment were restricted by automobile insurance limitation in the field of oriental medicine. Conclusions : This study suggested that Oriental medical treatments are effective in traffic accident patients without surgical injury. Further studies are needed for progress report that after traffic accident patients are discharged from the Oriental Medical Hospital.

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